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3D Object Retrieval

Source: He et al

Papers

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Showing 1–25 of 29 papers

TitleStatusHype
SAMURAI: Shape-Aware Multimodal Retrieval for 3D Object Identification—0
TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution AlignmentCode0
Segment then Splat: A Unified Approach for 3D Open-Vocabulary Segmentation based on Gaussian Splatting—0
Beyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graph—0
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph DiffusionCode2
Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D—0
Diffusion Handles: Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D—0
HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D ScansCode1
SCA-PVNet: Self-and-Cross Attention Based Aggregation of Point Cloud and Multi-View for 3D Object Retrieval—0
TextANIMAR: Text-based 3D Animal Fine-Grained Retrieval—0
SketchANIMAR: Sketch-based 3D Animal Fine-Grained Retrieval—0
Automatically Annotating Indoor Images with CAD Models via RGB-D ScansCode1
SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild—0
ROCA: Robust CAD Model Retrieval and Alignment from a Single ImageCode1
LATFormer: Locality-Aware Point-View Fusion Transformer for 3D Shape Recognition—0
Partial 3D Object Retrieval using Local Binary QUICCI Descriptors and Dissimilarity Tree IndexingCode0
MVTN: Multi-View Transformation Network for 3D Shape RecognitionCode1
Gram Regularization for Multi-view 3D Shape Retrieval—0
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape RetrievalCode1
An Indexing Scheme and Descriptor for 3D Object Retrieval Based on Local Shape QueryingCode0
Method for the generation of depth images for view-based shape retrieval of 3D CAD model from partial point cloud—0
Multiple Discrimination and Pairwise CNN for View-based 3D Object Retrieval—0
Geometric Disentanglement for Generative Latent Shape Models—0
View N-gram Network for 3D Object Retrieval—0
Rethinking Loss Design for Large-scale 3D Shape Retrieval—0
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